| 科技资源站点网络影响力的评价 |
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| 引用本文： | 周琼琼,张辉,华青松.科技资源站点网络影响力的评价[J].中国信息导报,2013(2):74-79. |
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| 作者姓名： | 周琼琼 张辉 华青松 |
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| 作者单位： | 1．国家科技基础条件平台中心，北京 100862；2．西南交通大学 经济管理学院，四川成都 610031；
3．北京航空航天大学，北京 100191；4．大连华锐重工集团，辽宁大连 116013 |
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| 摘 要： | 利用主成分分析法，对国家科技基础条件平台形成的20 个科技资源站点的7 个网络流量指标进行综合评
价，使用MATLAB软件进行辅助计算和分析，提出用3 个主成分的标准值来衡量这些科技资源站点的网络影响力，从
而反映科技资源站点资源信息化建设和共享服务水平，最后提出增强科技资源站点影响力的相关建议。
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| 关 键 词： | 主成分分析 网站影响力 评价指标 科技资源网站 |
Evaluation of R&D Resources Network Influence Degree |
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| Zhou Qiongqiong,Zhang Hui,Hua Qingsong.Evaluation of R&D Resources Network Influence Degree[J].China Information Review,2013(2):74-79. |
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| Authors: | Zhou Qiongqiong Zhang Hui Hua Qingsong |
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| Institution: | 1. National Science and Technology Infrastructure Center, Ministry of Science and Technology of China, Beijing
100862; 2. School of Economics and Management, Southwest Jiaotong University, Chengdu 610031; 3. Beihang
University, Beijing 100191; 4. Dalian H |
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| Abstract: | In this paper, the author makes general evaluation on seven evaluation indexes of 20 R&D resources
networks with principal component analysis. Through MATLAB for calculation and analysis, the author puts forward
three principal components as the measurement of R&D resource network influence level and gets the orders of
them, which shows the different types of R&D resource integration development and sharing service level. At last, the
author presents relevant suggestions to improve R&D resources networks performance. |
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| Keywords: | principal component analysis network influence degree evaluation index R&D resources network |
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